- Sort MetricName tags only once before the benchmark loop.
- Obtain indexSearch per each benchmark loop in order to give a chance for background merge
for the recently created parts
Previously all the newly ingested time series were registered in global `MetricName -> TSID` index.
This index was used during data ingestion for locating the TSID (internal series id)
for the given canonical metric name (the canonical metric name consists of metric name plus all its labels sorted by label names).
The `MetricName -> TSID` index is stored on disk in order to make sure that the data
isn't lost on VictoriaMetrics restart or unclean shutdown.
The lookup in this index is relatively slow, since VictoriaMetrics needs to read the corresponding
data block from disk, unpack it, put the unpacked block into `indexdb/dataBlocks` cache,
and then search for the given `MetricName -> TSID` entry there. So VictoriaMetrics
uses in-memory cache for speeding up the lookup for active time series.
This cache is named `storage/tsid`. If this cache capacity is enough for all the currently ingested
active time series, then VictoriaMetrics works fast, since it doesn't need to read the data from disk.
VictoriaMetrics starts reading data from `MetricName -> TSID` on-disk index in the following cases:
- If `storage/tsid` cache capacity isn't enough for active time series.
Then just increase available memory for VictoriaMetrics or reduce the number of active time series
ingested into VictoriaMetrics.
- If new time series is ingested into VictoriaMetrics. In this case it cannot find
the needed entry in the `storage/tsid` cache, so it needs to consult on-disk `MetricName -> TSID` index,
since it doesn't know that the index has no the corresponding entry too.
This is a typical event under high churn rate, when old time series are constantly substituted
with new time series.
Reading the data from `MetricName -> TSID` index is slow, so inserts, which lead to reading this index,
are counted as slow inserts, and they can be monitored via `vm_slow_row_inserts_total` metric exposed by VictoriaMetrics.
Prior to this commit the `MetricName -> TSID` index was global, e.g. it contained entries sorted by `MetricName`
for all the time series ever ingested into VictoriaMetrics during the configured -retentionPeriod.
This index can become very large under high churn rate and long retention. VictoriaMetrics
caches data from this index in `indexdb/dataBlocks` in-memory cache for speeding up index lookups.
The `indexdb/dataBlocks` cache may occupy significant share of available memory for storing
recently accessed blocks at `MetricName -> TSID` index when searching for newly ingested time series.
This commit switches from global `MetricName -> TSID` index to per-day index. This allows significantly
reducing the amounts of data, which needs to be cached in `indexdb/dataBlocks`, since now VictoriaMetrics
consults only the index for the current day when new time series is ingested into it.
The downside of this change is increased indexdb size on disk for workloads without high churn rate,
e.g. with static time series, which do no change over time, since now VictoriaMetrics needs to store
identical `MetricName -> TSID` entries for static time series for every day.
This change removes an optimization for reducing CPU and disk IO spikes at indexdb rotation,
since it didn't work correctly - see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401 .
At the same time the change fixes the issue, which could result in lost access to time series,
which stop receving new samples during the first hour after indexdb rotation - see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2698
The issue with the increased CPU and disk IO usage during indexdb rotation will be addressed
in a separate commit according to https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401#issuecomment-1553488685
This is a follow-up for 1f28b46ae9
The number of parts in the snapshot partition may be zero if concurrent goroutine just
started creating new partition, but didn't put data into it yet when the current
goroutine made a snapshot.
* docs: make `httpAuth.*` flags description less ambiguous
Currently, it may confuse users whether `httpAuth.*` flags are used by HTTP client or server configuration(see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4586 for example).
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
* docs: fix a typo
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
---------
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
* fix removing storage data dir before restoring from backup
Signed-off-by: Alexander Marshalov <_@marshalov.org>
* fix review comment
Signed-off-by: Alexander Marshalov <_@marshalov.org>
* fix review comment
Signed-off-by: Alexander Marshalov <_@marshalov.org>
* fixes after merge with `enterprise-single-node` branch
Signed-off-by: Alexander Marshalov <_@marshalov.org>
---------
Signed-off-by: Alexander Marshalov <_@marshalov.org>
The validation was needed for covering corner cases when storage is tested with data from 1970.
This resulted into unexpected search results, as year was parsed incorrectly from the given timestamp.
Co-authored-by: hagen1778 <roman@victoriametrics.com>
* lib/storage: creates parts.json on start-up if it not exists.
It fixes migrations from versions below v1.90.0.
Previously parts.json was created only after successful merge.
But if merge was interruped for some reason (OOM or shutdown), parts.json wasn't created and partitions left after interruped merge weren't properly deleted.
Since VM cannot check if it must be removed or not.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4336
* Apply suggestions from code review
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
* Update lib/storage/partition.go
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
---------
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
This is a followup for https://github.com/VictoriaMetrics/VictoriaMetrics/pull/4418 to also handle "connection reset by peer" errors in connection handling logic.
This error can be triggered just the same as described in original PR: when query was closed on vmselect side and connection has been interrupted.
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
This error may be wrapped in another error, and should normally be tested using
`errors.Is(err, net.ErrClosed)`.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
This error may be wrapped in another error, and should normally be tested using
`errors.Is(err, net.ErrClosed)`.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit dfe53a36fc)
The "broken pipe" error is emitted when the connection has been interrupted abruptly.
It could happen due to unexpected network glitch or because connection was
interrupted by remote client. In both cases, remote client will notice
connection breach and handle it on its own. No need in logging this error
on both: server and client side.
This change should reduce the amount of log noise on vmstorage side. In the same time,
it is not expected to lose any information, since important logs should be still
emitted by the vmselect.
To conduct an experiment for testing this change see the following instructions:
1. Setup vmcluster with at least 2 storage nodes, 1 vminsert and 1 vmselect
2. Run vmselect with complexity limit checked on the client side: `-search.maxSamplesPerQuery=1`
3. Ingest some data and query it back: `count({__name__!=""})`
4. Observe the logs on vmselect and vmstorage side
Before the change, vmselect will log message about complexity limits exceeded. When this happens,
vmselect closes network connections to vmstorage nodes signalizing that it doesn't expect any data back.
Both vmstorage processes will try to push data to the connection and will fail with "broken pipe" error,
means that vmselect closed the connection.
After the change, vmstorages should remain silent. And vmselect will continue emittin the error message
about complexity limits exceeded.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
